Abstract: Systems, devices, and methods for providing therapy to a heart of a patient are disclosed. The system includes an implantable device to be implanted proximate the heart of the patient. The implantable device includes at least one sensing electrode configured to sense electrical activity of the heart, at least two pacing electrodes configured to deliver electrical stimulation energy to tissue of the heart, and a controller including one or more algorithms. The one or more algorithms are executable to determine a pacing strategy to terminate atrial fibrillation.

Abstract: Systems and methods for generating and processing modeling workflows are disclosed. In some examples, a reference distribution of scores generated by a model is determined. The reference distribution of scores is recorded in a structured database. One or more unexpected scores are detected during execution of the model. To detect the one or more unexpected scores, a production distribution of scores is compared with the reference distribution of scores recorded in the structured database. The production distribution of scores is generated by the model for a production input data set. An alert is then provided to an external system, when an alert condition is determined to be satisfied based on the comparison. The alert indicates detection of the one or more unexpected scores.

Abstract: Provided herein are compounds that are MMP inhibitors, methods of making such compounds, pharmaceutical compositions and medicaments comprising such compounds, and methods of using such compounds in treating a disease, disorder or condition selected from cardiovascular disorders, lung disorders, renal disorders, hepatic disorders, and scleroderma pigmentosum.

Abstract: Systems and methods for model evaluation. A model is evaluated by performing a decomposition process for a model output, relative to a baseline input data set.

Abstract: A method and/or computer software for estimating the probability that a software weakness will be used in an exploit and/or malware and the probability that the developed exploit and/or malware will result in a compromise.

Abstract: Systems and methods for model evaluation. A model is evaluated by performing a decomposition process for a model output, relative to a baseline input data set.

Abstract: The disclosed technology teaches rejecting, during validation, a sequence of components intended for interacting with a user. Included are providing a sequence setup GUI supporting construction of an executable sequence by connecting at least five components in a directed graph, and tracing multiple paths through the directed graph, including from at least one conditional branch at a first up-chain component, in which down-chain components accept as input and depend on output from at least one up-chain component, referred to as input chain dependencies. Also included are locating at least one error in use of a particular down-chain component when invoked following one of the multiple paths, where the error results from failure to satisfy any of the input chain dependencies of the particular down-chain component, and reporting the error during validation to a user of the GUI, before passing the sequence of components from validation to use in production.

Abstract: Systems and methods for model evaluation. A protected class model that satisfies an accuracy threshold is built by using: data sets for use by a modeling system being evaluated, and protected class membership information for each data set. A target for the protected class model is a protected class membership variable indicating membership in a protected class. Each predictor of the protected class model is a predictor of an evaluated model used by the modeling system. A target of the evaluated model is different from the target of the protected class model. Each predictor is a set of one or more variables of the data sets. For each predictor of the protected class model, a protected class model impact ranking value and a modeling system impact ranking value are determined.

Abstract: Systems and methods for model evaluation. A protected class model that satisfies an accuracy threshold is built by using: data sets for use by a modeling system being evaluated, and protected class membership information for each data set. A target for the protected class model is a protected class membership variable indicating membership in a protected class. Each predictor of the protected class model is a predictor of an evaluated model used by the modeling system. A target of the evaluated model is different from the target of the protected class model. Each predictor is a set of one or more variables of the data sets. For each predictor of the protected class model, a protected class model impact ranking value and a modeling system impact ranking value are determined.

Abstract: Systems and methods for generating and processing modeling workflows are disclosed. In some examples, a reference distribution of scores generated by a model is determined. The reference distribution of scores is recorded in a structured database. One or more unexpected scores are detected during execution of the model. To detect the one or more unexpected scores, a production distribution of scores is compared with the reference distribution of scores recorded in the structured database. The production distribution of scores is generated by the model for a production input data set. An alert is then provided to an external system, when an alert condition is determined to be satisfied based on the comparison. The alert indicates detection of the one or more unexpected scores.

Abstract: Described herein are fused bicyclic compounds, compositions, and methods for their use for the treatment of disease.

Abstract: Systems and methods for generating and processing modeling workflows.

Abstract: A method and/or computer software for estimating the probability that a software weakness will be used in an exploit and/or malware and the probability that the developed exploit and/or malware will result in a compromise.

Abstract: The disclosed technology teaches rejecting, during validation, a sequence of components intended for interacting with a user. Included are providing a sequence setup GUI supporting construction of an executable sequence by connecting at least five components in a directed graph, and tracing multiple paths through the directed graph, including from at least one conditional branch at a first up-chain component, in which down-chain components accept as input and depend on output from at least one up-chain component, referred to as input chain dependencies. Also included are locating at least one error in use of a particular down-chain component when invoked following one of the multiple paths, where the error results from failure to satisfy any of the input chain dependencies of the particular down-chain component, and reporting the error during validation to a user of the GUI, before passing the sequence of components from validation to use in production.

Abstract: A headrest adjusting bracket surrounds posts from the headrest. A screw displaces one side of the bracket to apply a frictional force to the headrest posts. Protrusions on the interior surface of the bracket, proximal to each post, increases the surface area contact between the bracket and the posts when the screw is tightened.

Abstract: Described herein are fused bicyclic compounds, compositions, and methods for their use for the treatment of disease.

Abstract: The disclosed technology teaches correctly assembling a sequence of components for interacting with a user, including providing a sequence setup GUI with components that accept inputs and have input chain dependencies and outputs. The GUI supports construction of an executable sequence by connecting at least five of the components in a directed graph and tracing multiple paths through the components in the directed graph, resulting from at least one conditional branch at a first component, as the components are connected in the directed graph. Also taught is testing whether input chain dependencies of components under evaluation are satisfied when the components are invoked following any of the multiple paths and locating at least one error in use of a second component that results from failure to satisfy the input chain dependencies of the second component and reporting the error to a user, before executing the sequence and causing the error.

Abstract: Described herein are fused bicyclic compounds, compositions, and methods for their use for the treatment of disease.

Abstract: Disclosed herein are methods for preparing tertiary alcohols from an optionally substituted phenyl ketone or an optionally substituted pyridinyl ketone that includes the use of a chiral ligand and boron trifluoride diethyl etherate. Tertiary alcohols can be used to prepare synthetic versions of natural products and/or pharmaceuticals.

Abstract: Systems and methods for generating explanation information for a result of an application system. Explanation configuration is generated based on received user input. Responsive to an explanation generation event, a plurality of modified input variable value sets are generated for a first applicant by using the explanation configuration. For each modified input variable value set: a request is provided to a first application system for generation of a result for the modified input variable value set, and a result is received for the modified input variable value set. At least one input variable value is selected based on a comparison between a first result of a first input variable value set of the first applicant and results for the modified input variable value set. Explanation information is generated for the first result by using human-readable description information for each selected input variable value, in accordance with the explanation configuration.